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by Richard De Veaux and Paul Velleman

Edition: 04Copyright: 2004

Publisher: Addison-Wesley Longman, Inc.

Published: 2004

International: No

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The short, teachable chapters and approachable, colloquial style of Intro Stats has created excitement among reviewers and class testers! Students learn how to think statistically, show proper application of techniques, and tell others what they have learned. They also learn the common misuses and misconceptions of statistical thinking.

**Features :**

- The Vision? All uses of statistics start with careful thought about what we want to know and end with a clear account of what we have learned. Of course, like all previous texts, the book shows how to do statistics. But unlike other texts, this book views statistics through the frame of thinking about the context of the problem and telling what has been found. The refrain "Think, Show, and Tell" is repeated throughout the book, giving a consistent context for each method or concept. Students only compute statistics after first thinking about the data and questions, and complete each analysis with a clearly stated conclusion.
- The Spirit? Let's just say this book doesn't read like traditional texts. Students find it refreshing and approachable. And, as a result, memorable.
- What Makes This Text Work? The authors bring a sophisticated understanding of statistical thinking and years of experience developing effective teaching methods. Students follow a carefully developed path that introduces new concepts only as they are needed and can be used. As a result, students can fit each new concept into their growing understanding because every concept has a well-prepared place among the material already learned.
- Where other texts teach how to calculate a particular statistic or test and highlight definitions and formulas, Intro Stats teaches why, and when, what to check, the process of statistical analysis, and how to report the results. Students come away knowing how to think statistically.
- Intro Stats covers the material typically covered in an introductory statistics course, with chapters on multiple regression and ANOVA included on a CD for those who can go a bit further.

WHAT MAKES THIS BOOK SPECIAL?

- The book is written in an approachable, colloquial style that invites thinking about how to reason when data are available.
- The book uses a minimum of math and carefully planned development paths.
- The book is organized into short, teachable chapters. Each chapter covers roughly the material for one or two classes (depending on class schedule and length).
- By leading with practical data analysis and graphics, the book gets students "doing statistics" quickly and "thinking statistically" from the start. Students understand what we find in data, why we find that interesting, and how we report it to others as a sound foundation for the challenges of inference.
- Each chapter contains a motivating example that teaches students how to think about the statistical issues at hand, how to show proper application of statistical techniques, and how to tell others what they have learned. This "think, show, tell" pattern is repeated throughout the book to consistently emphasize statistics in context.
- Each chapter includes a What Can Go Wrong? section that illustrates the most common misuses and misconceptions of statistical thinking.
- Each chapter ends with a review of Key Concepts and essential Skills to help students review and check their own understanding, as well as a Connections section that ties the current material into that of other chapters.
- The text shows how to do statistics with computers in Computer sections, and includes exercises with actual computer output for students to interpret.
- CD ROM, packaged free with a new text to qualified adopters. Free CD ROM contains a full version of ActivStats, which is a complete multimedia presentation that follows the Intro Stats table of contents. Also on the CD are Chapters 28 (Analysis of Variance) and 29 (Multiple Regression); DDXL, an Excel add-in, and large data sets.

**Veaux, Richard De : Williams College**

Richard De Veaux holds degrees in Civil Engineering (B.S.E. Princeton), Mathematics (A.B.Princeton), Physical Education (M.A. Stanford; Specialization in Dance) and Statistics (Ph.D., Stanford). He has taught at the Wharton School, the Princeton University School of Engineering, and, since 1994, has been a professor in the Mathematics and Statistics Department of Williams College. He has won numerous teaching awards including a "Lifetime Award for Dedication and Excellence in Teaching" from the Engineering Council at Princeton. He has won both the Wilcoxon and Shewell awards (twice) from the American Society for Quality and was elected fellow of the American Statistical Association in 1998. Dick was Program Chair for the 2001 Joint Statistics Meeting in Atlanta (Aug. 2001). Dick has been a consultant for nearly 20 years for such companies as Hewlett-Packard, Alcoa, First USA Bank, Dupont, Pillsbury, Rohm and Haas, General Electric, and Chemical Bank.

Velleman, Paul : Cornell University

** **Paul Velleman has taught statistics at Cornell University for 22 years. He holds an A.B. from Dartmouth College in Mathematics and Social Science, and M.S. and Ph.D. degrees from Princeton University in Statistics, where he studied with John Tukey. He is a Fellow of the American Statistical Association, past Chair of its Statistical Computing Section, and a Fellow of the American Association for the Advancement of Science. He has been awarded the EDUCOM medal for innovative uses of computers in teaching statistics. He is the co-author of the book ABC?s of Exploratory Data Analysis. He is the author and designer of the multimedia statistics CD-ROM, ActivStats, and the developer of the award-winning statistics program, Data Desk, and the internet site, Data And Story Library (DASL), which provides datasets for teaching statistics.

*(* Indicates an optional chapter.) *

I. EXPLORING AND UNDERSTANDING DATA.

1. Stats Starts Here.

2. Data.

3. Displaying Categorical Data.

4. Displaying Quantitative Data.

5. Describing Distributions Numerically.

6. The Standard Deviation as a Ruler and the Normal Model.

II. EXPLORING RELATIONSHIPS BETWEEN VARIABLES.

7. Scatterplots, Association, and Correlation.

8. Linear Regression.

9. Regression Wisdom.

10. *Re-Expressing Data: It's easier than you think.

III. GATHERING DATA.

11. Understanding Randomness.

12. Sample Surveys.

13. Experiments.

IV. RANDOMNESS AND PROBABILITY.

14. From Randomness to Probability (LLN).

15. Probability Rules!

16. *Random Variables.

17. *Probability Models (Binomial).

V. FROM THE DATA AT HAND TO THE WORLD AT LARGE.

18. Sampling Distribution Models (CLT).

19. Confidence Intervals for Proportions.

20. Testing Hypotheses about Proportions.

21. More About Tests.

22. Comparing Two Proportions.

VI. LEARNING ABOUT THE WORLD.

23. Inferences About Means.

24. Comparing Means.

25. Paired Samples and Blocks.

VII. INFERENCE WHEN VARIABLES ARE RELATED.

26. Comparing Counts (Chi Square).

27. Inferences for Regression.

28. Analysis of Variance (on CD).

29. Multiple Regression (on CD).

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Summary

The short, teachable chapters and approachable, colloquial style of Intro Stats has created excitement among reviewers and class testers! Students learn how to think statistically, show proper application of techniques, and tell others what they have learned. They also learn the common misuses and misconceptions of statistical thinking.

**Features :**

- The Vision? All uses of statistics start with careful thought about what we want to know and end with a clear account of what we have learned. Of course, like all previous texts, the book shows how to do statistics. But unlike other texts, this book views statistics through the frame of thinking about the context of the problem and telling what has been found. The refrain "Think, Show, and Tell" is repeated throughout the book, giving a consistent context for each method or concept. Students only compute statistics after first thinking about the data and questions, and complete each analysis with a clearly stated conclusion.
- The Spirit? Let's just say this book doesn't read like traditional texts. Students find it refreshing and approachable. And, as a result, memorable.
- What Makes This Text Work? The authors bring a sophisticated understanding of statistical thinking and years of experience developing effective teaching methods. Students follow a carefully developed path that introduces new concepts only as they are needed and can be used. As a result, students can fit each new concept into their growing understanding because every concept has a well-prepared place among the material already learned.
- Where other texts teach how to calculate a particular statistic or test and highlight definitions and formulas, Intro Stats teaches why, and when, what to check, the process of statistical analysis, and how to report the results. Students come away knowing how to think statistically.
- Intro Stats covers the material typically covered in an introductory statistics course, with chapters on multiple regression and ANOVA included on a CD for those who can go a bit further.

WHAT MAKES THIS BOOK SPECIAL?

- The book is written in an approachable, colloquial style that invites thinking about how to reason when data are available.
- The book uses a minimum of math and carefully planned development paths.
- The book is organized into short, teachable chapters. Each chapter covers roughly the material for one or two classes (depending on class schedule and length).
- By leading with practical data analysis and graphics, the book gets students "doing statistics" quickly and "thinking statistically" from the start. Students understand what we find in data, why we find that interesting, and how we report it to others as a sound foundation for the challenges of inference.
- Each chapter contains a motivating example that teaches students how to think about the statistical issues at hand, how to show proper application of statistical techniques, and how to tell others what they have learned. This "think, show, tell" pattern is repeated throughout the book to consistently emphasize statistics in context.
- Each chapter includes a What Can Go Wrong? section that illustrates the most common misuses and misconceptions of statistical thinking.
- Each chapter ends with a review of Key Concepts and essential Skills to help students review and check their own understanding, as well as a Connections section that ties the current material into that of other chapters.
- The text shows how to do statistics with computers in Computer sections, and includes exercises with actual computer output for students to interpret.
- CD ROM, packaged free with a new text to qualified adopters. Free CD ROM contains a full version of ActivStats, which is a complete multimedia presentation that follows the Intro Stats table of contents. Also on the CD are Chapters 28 (Analysis of Variance) and 29 (Multiple Regression); DDXL, an Excel add-in, and large data sets.

Author Bio

**Veaux, Richard De : Williams College**

Richard De Veaux holds degrees in Civil Engineering (B.S.E. Princeton), Mathematics (A.B.Princeton), Physical Education (M.A. Stanford; Specialization in Dance) and Statistics (Ph.D., Stanford). He has taught at the Wharton School, the Princeton University School of Engineering, and, since 1994, has been a professor in the Mathematics and Statistics Department of Williams College. He has won numerous teaching awards including a "Lifetime Award for Dedication and Excellence in Teaching" from the Engineering Council at Princeton. He has won both the Wilcoxon and Shewell awards (twice) from the American Society for Quality and was elected fellow of the American Statistical Association in 1998. Dick was Program Chair for the 2001 Joint Statistics Meeting in Atlanta (Aug. 2001). Dick has been a consultant for nearly 20 years for such companies as Hewlett-Packard, Alcoa, First USA Bank, Dupont, Pillsbury, Rohm and Haas, General Electric, and Chemical Bank.

Velleman, Paul : Cornell University

** **Paul Velleman has taught statistics at Cornell University for 22 years. He holds an A.B. from Dartmouth College in Mathematics and Social Science, and M.S. and Ph.D. degrees from Princeton University in Statistics, where he studied with John Tukey. He is a Fellow of the American Statistical Association, past Chair of its Statistical Computing Section, and a Fellow of the American Association for the Advancement of Science. He has been awarded the EDUCOM medal for innovative uses of computers in teaching statistics. He is the co-author of the book ABC?s of Exploratory Data Analysis. He is the author and designer of the multimedia statistics CD-ROM, ActivStats, and the developer of the award-winning statistics program, Data Desk, and the internet site, Data And Story Library (DASL), which provides datasets for teaching statistics.

Table of Contents

*(* Indicates an optional chapter.) *

I. EXPLORING AND UNDERSTANDING DATA.

1. Stats Starts Here.

2. Data.

3. Displaying Categorical Data.

4. Displaying Quantitative Data.

5. Describing Distributions Numerically.

6. The Standard Deviation as a Ruler and the Normal Model.

II. EXPLORING RELATIONSHIPS BETWEEN VARIABLES.

7. Scatterplots, Association, and Correlation.

8. Linear Regression.

9. Regression Wisdom.

10. *Re-Expressing Data: It's easier than you think.

III. GATHERING DATA.

11. Understanding Randomness.

12. Sample Surveys.

13. Experiments.

IV. RANDOMNESS AND PROBABILITY.

14. From Randomness to Probability (LLN).

15. Probability Rules!

16. *Random Variables.

17. *Probability Models (Binomial).

V. FROM THE DATA AT HAND TO THE WORLD AT LARGE.

18. Sampling Distribution Models (CLT).

19. Confidence Intervals for Proportions.

20. Testing Hypotheses about Proportions.

21. More About Tests.

22. Comparing Two Proportions.

VI. LEARNING ABOUT THE WORLD.

23. Inferences About Means.

24. Comparing Means.

25. Paired Samples and Blocks.

VII. INFERENCE WHEN VARIABLES ARE RELATED.

26. Comparing Counts (Chi Square).

27. Inferences for Regression.

28. Analysis of Variance (on CD).

29. Multiple Regression (on CD).

Publisher Info

Publisher: Addison-Wesley Longman, Inc.

Published: 2004

International: No

Published: 2004

International: No

The short, teachable chapters and approachable, colloquial style of Intro Stats has created excitement among reviewers and class testers! Students learn how to think statistically, show proper application of techniques, and tell others what they have learned. They also learn the common misuses and misconceptions of statistical thinking.

**Features :**

- The Vision? All uses of statistics start with careful thought about what we want to know and end with a clear account of what we have learned. Of course, like all previous texts, the book shows how to do statistics. But unlike other texts, this book views statistics through the frame of thinking about the context of the problem and telling what has been found. The refrain "Think, Show, and Tell" is repeated throughout the book, giving a consistent context for each method or concept. Students only compute statistics after first thinking about the data and questions, and complete each analysis with a clearly stated conclusion.
- The Spirit? Let's just say this book doesn't read like traditional texts. Students find it refreshing and approachable. And, as a result, memorable.
- What Makes This Text Work? The authors bring a sophisticated understanding of statistical thinking and years of experience developing effective teaching methods. Students follow a carefully developed path that introduces new concepts only as they are needed and can be used. As a result, students can fit each new concept into their growing understanding because every concept has a well-prepared place among the material already learned.
- Where other texts teach how to calculate a particular statistic or test and highlight definitions and formulas, Intro Stats teaches why, and when, what to check, the process of statistical analysis, and how to report the results. Students come away knowing how to think statistically.
- Intro Stats covers the material typically covered in an introductory statistics course, with chapters on multiple regression and ANOVA included on a CD for those who can go a bit further.

WHAT MAKES THIS BOOK SPECIAL?

- The book is written in an approachable, colloquial style that invites thinking about how to reason when data are available.
- The book uses a minimum of math and carefully planned development paths.
- The book is organized into short, teachable chapters. Each chapter covers roughly the material for one or two classes (depending on class schedule and length).
- By leading with practical data analysis and graphics, the book gets students "doing statistics" quickly and "thinking statistically" from the start. Students understand what we find in data, why we find that interesting, and how we report it to others as a sound foundation for the challenges of inference.
- Each chapter contains a motivating example that teaches students how to think about the statistical issues at hand, how to show proper application of statistical techniques, and how to tell others what they have learned. This "think, show, tell" pattern is repeated throughout the book to consistently emphasize statistics in context.
- Each chapter includes a What Can Go Wrong? section that illustrates the most common misuses and misconceptions of statistical thinking.
- Each chapter ends with a review of Key Concepts and essential Skills to help students review and check their own understanding, as well as a Connections section that ties the current material into that of other chapters.
- The text shows how to do statistics with computers in Computer sections, and includes exercises with actual computer output for students to interpret.
- CD ROM, packaged free with a new text to qualified adopters. Free CD ROM contains a full version of ActivStats, which is a complete multimedia presentation that follows the Intro Stats table of contents. Also on the CD are Chapters 28 (Analysis of Variance) and 29 (Multiple Regression); DDXL, an Excel add-in, and large data sets.

**Veaux, Richard De : Williams College**

Richard De Veaux holds degrees in Civil Engineering (B.S.E. Princeton), Mathematics (A.B.Princeton), Physical Education (M.A. Stanford; Specialization in Dance) and Statistics (Ph.D., Stanford). He has taught at the Wharton School, the Princeton University School of Engineering, and, since 1994, has been a professor in the Mathematics and Statistics Department of Williams College. He has won numerous teaching awards including a "Lifetime Award for Dedication and Excellence in Teaching" from the Engineering Council at Princeton. He has won both the Wilcoxon and Shewell awards (twice) from the American Society for Quality and was elected fellow of the American Statistical Association in 1998. Dick was Program Chair for the 2001 Joint Statistics Meeting in Atlanta (Aug. 2001). Dick has been a consultant for nearly 20 years for such companies as Hewlett-Packard, Alcoa, First USA Bank, Dupont, Pillsbury, Rohm and Haas, General Electric, and Chemical Bank.

Velleman, Paul : Cornell University

** **Paul Velleman has taught statistics at Cornell University for 22 years. He holds an A.B. from Dartmouth College in Mathematics and Social Science, and M.S. and Ph.D. degrees from Princeton University in Statistics, where he studied with John Tukey. He is a Fellow of the American Statistical Association, past Chair of its Statistical Computing Section, and a Fellow of the American Association for the Advancement of Science. He has been awarded the EDUCOM medal for innovative uses of computers in teaching statistics. He is the co-author of the book ABC?s of Exploratory Data Analysis. He is the author and designer of the multimedia statistics CD-ROM, ActivStats, and the developer of the award-winning statistics program, Data Desk, and the internet site, Data And Story Library (DASL), which provides datasets for teaching statistics.

*(* Indicates an optional chapter.) *

I. EXPLORING AND UNDERSTANDING DATA.

1. Stats Starts Here.

2. Data.

3. Displaying Categorical Data.

4. Displaying Quantitative Data.

5. Describing Distributions Numerically.

6. The Standard Deviation as a Ruler and the Normal Model.

II. EXPLORING RELATIONSHIPS BETWEEN VARIABLES.

7. Scatterplots, Association, and Correlation.

8. Linear Regression.

9. Regression Wisdom.

10. *Re-Expressing Data: It's easier than you think.

III. GATHERING DATA.

11. Understanding Randomness.

12. Sample Surveys.

13. Experiments.

IV. RANDOMNESS AND PROBABILITY.

14. From Randomness to Probability (LLN).

15. Probability Rules!

16. *Random Variables.

17. *Probability Models (Binomial).

V. FROM THE DATA AT HAND TO THE WORLD AT LARGE.

18. Sampling Distribution Models (CLT).

19. Confidence Intervals for Proportions.

20. Testing Hypotheses about Proportions.

21. More About Tests.

22. Comparing Two Proportions.

VI. LEARNING ABOUT THE WORLD.

23. Inferences About Means.

24. Comparing Means.

25. Paired Samples and Blocks.

VII. INFERENCE WHEN VARIABLES ARE RELATED.

26. Comparing Counts (Chi Square).

27. Inferences for Regression.

28. Analysis of Variance (on CD).

29. Multiple Regression (on CD).